Paper Info
Title
Motion and ballistocardiogram artifact removal for interleaved recording of EEG and EPs during MRI.
Abstract
Artifactsgenerated by motion (e.g., ballistocardiac) of the head inside a high magnetic field corrupt recordings of EEG and EPs. This paper introduces a method for motion artifact cancellation. This method is based on adaptive filtering and takes advantage of piezoelectric motion sensor information to estimate the motion artifact noise. This filter estimates the mapping between motion sensor and EEG space, subtracting the motion-related noise from the raw EEG signal. Due to possible subject motion and changes in electrode impedance, a time-varying mapping of the motion versus EEG is required. We show that this filter is capable of removing both ballistocardiogram and gross motion artifacts, restoring EEG alpha waves (8–13 Hz), and visual evoked potentials (VEPs). This adaptive filter outperforms the simple band-pass filter for alpha detection because it is also capable of reducing noise within the frequency band of interest. In addition, this filter also removes the transient responses normally visible in the EEG window after echo planar image acquisition, observed during interleaved EEG/fMRI recordings. Our adaptive filter approach can be implemented in real-time to allow for continuous monitoring of EEG and fMRI during clinical and cognitive studies.
Year
DOI
Venue
2002
10.1006/nimg.2002.1125
NeuroImage
Keywords
DocType
Volume
adaptive filtering,ballistocardiogram (BCG),interleaved VEPs and fMRI,visual evoked potentials,VEP,EEG,MRI,brain mapping,epilepsy
Journal
16
Issue
ISSN
Citations 
4
1053-8119
55
PageRank 
References 
Authors
16.77
0
7
Name
Order
Citations
PageRank
Giorgio Bonmassar115933.51
Patrick L. Purdon29828.96
Iiro P Jääskeläinen39420.22
Keith Chiappa45516.77
Victor Solo546493.21
Emery N. Brown61019151.59
John W Belliveau725638.29